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Scatter plots are used only with Scatter Plot charts. They render items as points on a two-axis plot area. This plot closely resembles the Line plot just described, in that it lets users configure the labels for both axes, the rendering of lines to unite the item points, and the rendering of the small shapes that mark each item point on the target plot area. Listing 13-19 gives the JRXML syntax for the Scatter plot. Listing 13-19. JRXML Syntax <!ELEMENT scatterPlot (plot, xAxisLabelExpression , xAxisFormat , yAxisLabelExpression , yAxisFormat )> <!ATTLIST scatterPlot isShowLines (true | false) "true" isShowShapes (true | false) "true" > <!ELEMENT xAxisFormat (axisFormat)> <!ELEMENT yAxisFormat (axisFormat)>

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the answer really quickly that s one reason why it s good to make sure you construct experiments where nice, easy numbers are likely to drop out. When in difficulty, I often try working backwards in this case, from the join cardinality to the join selectivity: 62,500 = 100,000,000 * join selectivity. Join selectivity = 62,500 / 100,000,000 = 1/1,600 Can we find 1,600 anywhere in our test case Yes we can: 1/1,600 = 1/40 * 1/40. The optimizer has used two selectivities from the same side of the join instead of one from each side. In fact, we can see this confirmed in the 10053 trace file. There are two indicators. Following the single table access path section, we see Table: Table: T1 T2 Multi-column join key card: 1500.000000 Multi-column join key card: 1600.000000

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2. The IDE will open an XML editor window, with a single line of code: an XML processing instruction. Below that line, start typing in a new <Friends> element. Give it an xmlns attribute, to set the http://www.apress.com/schemas/friendsreunion namespace as the default one, as shown here.

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In fact, if you also have multicolumn indexes that might be relevant, this part of the trace file also reports the number of distinct keys in these indexes with the description Concatenated index card. At the tail end of the NL Join section (where the join cardinality is worked out), we then see the following: Using multi-column join key sanity check for table T2 Revised join selectivity: 6.2500e-004 = 5.0000e-004 * (1/1600) * (1/5.0000e-004) Join Card: 62500.00 = outer (10000.00) * inner (10000.00) * sel (6.2500e-004) Again, with suitable multicolumn indexes in place, the first of these lines might refer to the concatenated index cardinality for table t2. It is an interesting thought that you may choose to add a column to an index in order to make some queries index-only. A side effect of this is that this 10g sanity check will then cease to be used for any joins that might involve just the columns from the original index definition. As far as I can tell, this substitution always takes place (at least on nice, easy two-table joins). The optimizer works out (perhaps for historical reasons only) the worst case selectivity by taking the greater of the two num_distinct values for each pair of joined columns in turn. Then it works the equivalent figure for each table in turn by looking only at the values for num_distinct on that table, and actually uses whichever table-based figure gives the smaller value for selectivity. (In this case, 1/1,600 is smaller than 1/1,500.) The parameter _optimizer_ join_sel_sanity_check is probably the one that controls this behavior. As a final wrinkle, if the multi-column join key cardinality for an individual table goes below 1/num_rows for that table, then the optimizer appears to substitute 1/num_rows instead of the calculated value.

3. Type a right-angle bracket (>) to mark the end of the tag; the closing </Friends> tag will automatically appear after the cursor. 4. Now add the <Friends> element s required PlaceID attribute. To do this, place the cursor just before the > character of the opening <Friends> tag and insert a space. IntelliSense will recognize that you want to insert an attribute, and will offer a list of the names of all the valid attributes that you re allowed to put there.

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